Application of Swingler's Method for Analysis of Multicomponent Exponentials with Special Attention to Non-equispaced Data
Hasan, R., & Scott, J. B. (2016). Application of Swingler’s Method for Analysis of Multicomponent Exponentials with Special Attention to Non-equispaced Data. In 2016 IEEE 12th International Colloquium on Signal Processing & Its Applications (CSPA), 4-6 March 2016, Melaysia (pp. 12–15). Washington, DC, USA: IEEE. https://doi.org/10.1109/CSPA.2016.7515794
Permanent Research Commons link: https://hdl.handle.net/10289/10890
Swingler enhanced the work of Gardner to provide an elegant deconvolution method by which multiple summed exponential components might be resolved within time-domain data. Nevertheless, the application of the method remains limited owing to subtle complications that discourage many users. We present a tutorial and extend the approach to handle nonequispaced data. Finally the method’s limits are identified in the case of closely-spaced exponential components with added input noise.
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